Bio-inspired feature selection algorithms with their applications: a systematic literature review
Based on the principles of the biological evolution of nature, bio-inspired algorithms are gaining popularity in developing robust techniques for optimization. Unlike gradient descent optimization methods, these metaheuristic algorithms are computationally less expensive, and can also considerably p...
Main Authors: | Pham, T.H (Author), Raahemi, B. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
|
Subjects: | |
Online Access: | View Fulltext in Publisher View in Scopus |
Similar Items
-
Bio-Inspired Feature Selection: An Improved Binary Particle Swarm Optimization Approach
by: Bai Ji, et al.
Published: (2020-01-01) -
BENCHMARKING BIO-INSPIRED COMPUTATION ALGORITHMS AS WRAPPERS FOR FEATURE SELECTION
by: Drazen BAJER, et al.
Published: (2020-08-01) -
Mitigating Insider Threats Using Bio-Inspired Models
by: Andreas Nicolaou, et al.
Published: (2020-07-01) -
Feature Extraction using Dimensionality Reduction Techniques: Capturing the Human Perspective
by: Coleman, Ashley B.
Published: (2015) -
Chemical Reaction Optimization for Feature Combination in Bio-inspired Visual Attention
by: Lu Gan, et al.
Published: (2015-06-01)